Senior/ Machine Learning Engineer

Summary

Build and deploy ML models in Python/SQL, from EDA to production APIs, and collaborate with engineering to scale AI solutions.

Perform exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large datasets.
Translate business problems into analytical and machine learning solutions.
Design, develop, train, and optimise machine learning models and algorithms.
Evaluate model performance using appropriate validation techniques, hyperparameter tuning, and model optimisation methods.
Deploy machine learning models into production environments and integrate them with existing applications through APIs.
Collaborate with software engineering and DevOps teams to build scalable, production-ready AI solutions.
Monitor deployed models, troubleshoot issues, and continuously improve model accuracy and efficiency.
Present analytical findings and recommendations clearly to both technical and non-technical stakeholders.
Stay current with advancements in AI, machine learning, and data science, recommending new tools and best practices where applicable.

Minimum 3 years of hands-on experience in machine learning implementation, deployment, and statistical data analysis involving large datasets.
Strong experience translating business requirements into analytical solutions using statistical and machine learning techniques.
Proficient in: Python, SQL, Data Wrangling, Data Visualisation, Database Management Systems (DBMS).
Experience with one or more of the following: TensorFlow, PyTorch, RSA, Qlik Sense.
Experience deploying machine learning models into production environments.
Familiarity with Agile development methodologies such as Scrum is preferred.

Experience with any of the following technologies would be advantageous:

East / West